Learning Jupyter: Select, Share, Interact and Integrate with Jupyter Notebook

Toomey

€41.99

1 (3 Ratings)

Paperback Nov 2016 238 pages 1st Edition

Toomey

€41.99

1 (3 Ratings)

Paperback Nov 2016 238 pages 1st Edition

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Key benefits

Learn to write, execute, and comment your live code and formulae all under one roof using this unique guide
This one-stop solution on Project Jupyter will teach you everything you need to know to perform scientific computation with ease
This easy-to-follow, highly practical guide lets you forget your worries in scientific application development by leveraging big data tools such as Apache Spark, Python, R etc

Description

Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Jupyter Notebook system is extensively used in domains such as data cleaning and transformation, numerical simulation, statistical modeling, machine learning, and much more. This book starts with a detailed overview of the Jupyter Notebook system and its installation in different environments. Next we’ll help you will learn to integrate Jupyter system with different programming languages such as R, Python, JavaScript, and Julia and explore the various versions and packages that are compatible with the Notebook system. Moving ahead, you master interactive widgets, namespaces, and working with Jupyter in a multiuser mode. Towards the end, you will use Jupyter with a big data set and will apply all the functionalities learned throughout the book.

Who is this book for?

This book caters to all developers, students, or educators who want to execute code, see output, and comment all in the same document, in the browser. Data science professionals will also find this book very useful to perform technical and scientific computing in a graphical, agile manner.

What you will learn

Install and run the Jupyter Notebook system on your machine
Implement programming languages such as R, Python, Julia, and JavaScript with Jupyter Notebook
Use interactive widgets to manipulate and visualize data in real time
Start sharing your Notebook with colleagues
Invite your colleagues to work with you in the same Notebook
Organize your Notebook using Jupyter namespaces
Access big data in Jupyter

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What do you get with Print?

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Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

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Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

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Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

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Drew Dec 04, 2018

There are things that could be useful theoretically. Starting with my first gripe - The book states that it is using Python 2. It is November, 2016 - and Python 2 is dead. I don't have a problem with using Python2, but I do have a problem with not identifying that you use Python 2. It just comes across as false advertising.Don't worry, that isn't my only gripe. There are a few things, like commands on how to use Jupyter that you may find useful, but a quick internet search may prove more useful. The word vomit continually shows little understanding of what is going on. That means this isn't even a language barrier, it is just plain bad. I included to screenshots. It shows commentary that conveys that he doesn't understand what is going on, while using built in datasets. I was using those datasets on day 1 of my exposure to the material. 'I understand that he doesn't understand why numbers don't add up to 100%. But he needs to follow it up with details on whether there is data actually missing (which represents an unaddressed category), whether there is an error in the math (like floating point error), or what is going on. As it is, I assume that this is his first exposure, and he just tells the readers that sometimes there are problems. Not that the writer will take any action to resolve them.The statistics one is a great expression of incompetence. If you are going to use a statistical methodology, at least understand statistics. The Standard Deviation won't drift a lot when rolling two six-sided dice. The theoretical odds of the sum are always between 2 and 12. The small domain limits the statistical data quite nicely. There are specific patterns which we don't need to go into, but needless to say, it makes the writer appear incompetent about his chosen content. I could read more, but why?

Amazon Verified review

Matt Mar 28, 2017

Only Windows and Mac OS. No Linux. Not helpful.

Axel Willy Jan 28, 2017

Selbst für Einsteiger nicht zu gebrauchen. Ein paar Seiten Text kopiert aus Manpages, dazu sehr viele übergroße Screenshots. Informationsgehalt fast nicht vorhanden. Buch zurück geschickt.

Learning Jupyter: Select, Share, Interact and Integrate with Jupyter Notebook

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